Planteamiento de políticas industriales con miras a mejorar aspectos de competitividad del sector confecciones de la ciudad de Bogotá, por medio de la aplicación del paradigma de simulación por dinámica de sistemas, utilizando el software Vensim y realizando la experimentación con los indicadores de cumplimiento, participación del PIB, balanza comercial, IVCR, y utilidad, para tres escenarios propuestos: proyectos de inversión, bienestar social, y mercados abiertos.

Los 10 parámetros clave del desempeño de Lean Six Sigma, guiados por la minería de datos de la ia, se tradujeron en la recuperación de 2017. Quizá usted pregunte ante todo: ¿Es tan necesaria la mejora de procesos para una empresa que tenía un ebitda negativo de 3.6 menos de la facturación? Sería más fácil decir simplemente a los accionistas que la empresa está en dificultades y abrumada de deudas y es imposible salvarla.

Esta edición de Logística contemporánea ofrece un panorama de los negocios que se caracteriza por la existencia de tensiones geopolíticas en diversas partes del mundo; el crecimiento sostenido del comercio entre los países, y en todos los continentes; vulnerabilidades de la cadena de suministro causadas por graves desastres naturales y un ritmo incesante en los avances tecnológicos. Aunque éstos y otros acontecimientos presentan desafíos y oportunidades para los administradores logísticos, la disciplina de la logística sigue siendo divertida, emocionante y dinámica (características que se reflejan a lo largo del texto).

Estudio y análisis sobre el diseño que deben tener las casas de los obrerros en España. El texto está dividido en tres partes, en la primera de ella, se discuten sobre las condiciones técnicas e higiénicas que deben contar las viviendas. En la segunda, se hace un estudio comparativo de las casas obreras en otros países y, finalmente, la última parte se destina a la aplicación de datos y reglas precedentes al caso de España.

Impreso en el que se recopila diversa documentación relacionada con el porvenir de la industria agrícola en Colombia, con el objetivo de que los legisladores conozcan sobre el tema y tengan aptitudes para tomar determinaciones con miras a mejoras nacionales en el agro. Dentro de la documentación disponible en el documento, se puede encontrar un proyecto de ley sobre la industria pecuaria y la recomendación de la raza bovina Hereford para promover la ganadería en Colombia.

Abstract: The success of machine learning algorithms depends on the representation of the data used. Specific domain knowledge can be used to design good representations. However, these representations are limited to a specific problem or task, and to the amount of available labeled data. Another approach is to automatically learn generic priors that can be used in different tasks and context. In the field of natural language processing, recent work has been done in obtaining such priors by learning useful vector representation of words from unlabeled data. The representations can then be used to improve existing natural language processing systems. These word vectors are obtained using special neural network architectures trained on billions of tokens. However, most of these models are learned and evaluated on English language corpora. In this work, Word2vec, a recent neural network based toolkit for learning word representations is used on German language data. The goal is to evaluate the learned representations of words in different language processing and information retrieval tasks. In particular, a semantic-syntactic evaluation set is constructed for the German language. In addition to that, the learned word vector representations are used as features for a classifier of German language business documents. The learned features outperformed existing handcrafted features and performed similar to other state-of-the-art approaches. Resumen: El éxito de los algoritmos de aprendizaje automático depende de la representación de los datos utilizados. conocimiento de dominio específico se puede utilizar para diseñar buenas representaciones. SIN EMBARGO, representaciones de síntesis se limitan a un problema o tarea específica, y que la cantidad de datos disponibles etiquetados. Otro enfoque es aprender automáticamente priores genéricos hizo kann utilizado en diferentes tareas y el contexto. En el campo del procesamiento del lenguaje natural, los trabajos recientes se ha hecho en la obtención de distribuciones previas examinados por el aprendizaje de la representación vector útil de las palabras de datos no etiquetados. Las representaciones a continuación, se pueden utilizar para mejorar el sistema de procesamiento de lenguaje natural existente. Estos vectores de palabras se obtienen utilizando arquitecturas de redes neuronales especiales entrenados en miles de millones de fichas. Sin embargo la mayoría de los modelos de síntesis se aprenden y se evalúa el corpus idioma Inglés. En este trabajo, Word2vec, un conjunto de herramientas basadas red neuronal reciente para el aprendizaje de representación de palabra se utiliza en los datos de idioma alemán. El objetivo es evaluar las representaciones aprendido de palabras en diferentes tareas de procesamiento del lenguaje y la recuperación de información. En particular, una evaluación semántico-sintáctica conjunto se construye para el idioma alemán. Además de eso, las representaciones vectoriales de palabras aprendidas se utilizan como características para un clasificador de documentos comerciales idioma alemán. Las características aprendidas superaron características artesanales existentes y funcionando de modo similar a otros enfoques del estado de la técnica.

The excavation for the 53-story reinforced concrete One Museum Park West building (OMPW) in Chicago was constructed using combined support systems. The building was supported by caissons and a perimeter wall formed by secant piles which transitioned to tangent piles below the bottom of the cut. After installing the perimeter wall and deep foundations for the building, the excavation for the reinforced concrete central core was supported by a circular cofferdam made of sheet piles and steel ring beams. This excavation was made using conventional bottom-up excavation techniques. The excavation for the rest of the building was made using a top-down method and was laterally braced with reinforced concrete floor slabs structurally connected to the secant pile walls and the reinforced concrete core. Field performance data during construction of the OMPW basements were collected with settlement points, inclinometers and strain gages installed in the concrete basement slabs. Significant settlements were observed adjacent to the excavation during wall and deep foundation installation, central core construction and top-down excavation. The influence of concrete material time-dependence of the floor slabs on the performance during top-down excavation is evaluated and a method for the separation of temperature-related strains from the excavation-induced strains in the concrete is described. The construction of the basements is simulated with a 3D numerical structural model to study the influence of the concrete material time-dependence of the floor slabs in the excavation-induced movements resulting from top-down construction. Computed strains in the floor slabs are compared with the observed performance data collected from the strain gages. For use in numerical simulation of the entire excavation process, hypoplasticity constitutive parameters for clays (HC model) at the element test level were calibrated with tests conducted on high quality block samples obtained from the excavation of Block 37 project in Chicago. They included oedometer tests, bender element measurements, and triaxial tests following different stress probes, and were further refined with seismic cone penetration results.  The entire OMPW excavation is simulated with the calibrated parameters with a fully coupled-flow deformation, three-dimensional finite element model. Influence of the construction of secant pile walls, concrete material time-dependence, and nonlinear concrete behavior of the perimeter pile walls on the performance of the OMPW excavation is determined. Conclusions about top-down construction are drawn in light of the measured and simulated performance of the OMPW excavation.

Tracer experiments are of concern to wastewater treatment engineers and researchers because of the importance of determining hydraulic regimes and retention times in wastewater treatment units. In this work, a pilot-scale maturation waste stabilisation pond (WSP) was spiked with Rhodamine WT, in order to determine how suspended organic matter would interfere with its performance as a tracer in a domestic wastewater treatment unit which had a high content of suspended algal biomass. A primary maturation pond was spiked in three separate runs with different levels of algae (high, medium and low), with a known amount of Rhodamine WT (20% w/v); the tracer was measured in the pond effluent in real time every 20 min for 3? (the theoretical retention time, ? = 17 days). Algal biomass was monitored weekly from influent, column and effluent water samples by chlorophyll-a determination. The results show that algal biomass has a strong influence on the behaviour of Rhodamine WT as a tracer and therefore the hydraulic characteristics calculated from tracer curves may be affected by tracer adsorption on suspended organic matter.

In this work a tertiary horizontal-flow blast furnace slag (BFS) filter was tested for phosphorus removal under laboratory and field conditions. Laboratory experiments were conducted in a bench-scale BFS filter for phosphorus adsorption capacity at equilibrium conditions using P-spiked water. On-site, the performance of a pilot-scale BFS filter was monitored for phosphorus removal from the final effluent of a pilot-scale WSP system located in Esholt (Bradford, UK), which comprises a primary facultative pond and a secondary aerated rock filter (ARF) in series. Adsorption capacity (q) results showed that BFS has high affinity for inorganic P species and it can remove up to 30 g P/kg BFS; however, q values are strongly dependent on the initial P concentration. The pilot-scale BFS filter tested on-site performed better for longer (<2 mg P/L) than the laboratory-scale filter, even though despite the latter received the same hydraulic and P loadings (1.8 m3/m3 d and 18 g P/m3 d, respectively). Both the laboratory and field results showed that BFS filters are an appropriate low-cost technology to upgrading small wastewater treatment systems for phosphorus removal.

Wastewater treatment technologies suitable for serving large populations are generally reliable and reasonably cost-effective, yet they are almost always financially inappropriate for small communities (,2,000 p.e.). Comparative cost data suggests that waste stabilization ponds should be an attractive option for small communities, yet perceptions relating to land costs, climate and effluent quality have limited their application in the UK. This paper details typical UK land costs, climate and winter performance data for apilot-scale waste stabilization pond with various upgrading technologies: system A, two tertiary maturationponds in series; B, two tertiary maturation ponds in series followed by a reed bed channel; C, a control rockfilter; D, an aerated rock filter; and E, a constructed wetland. System D was found to perform best, closely followed by system B.